Accurate Deforestation Checks. Anywhere, Anytime.

The EUDR is a law enacted by the EU to prevent the placing of commodities linked with deforestation and forest degradation onto the EU market or exporting them from the EU.

It aims to reduce greenhouse gas emissions resulting from deforestation and aid in the fight against global biodiversity loss.

Accurate deforestation data is essential for complying with the European Union's Deforestation Regulation (EUDR), which mandates that commodities like rubber, palm oil, cattle, coffee, cocoa, and timber are not sourced from land deforested after December 31, 2020.

Reliable data ensures that companies can verify their supply chains are free from deforestation, thereby avoiding significant penalties, preventing supply chain disruptions, and maintaining market access within the EU.

Without precise data, businesses risk non-compliance, which can lead to legal and financial repercussions.

Open-source deforestation data, while widely accessible, often lacks the accuracy and detail required for EUDR compliance.

These datasets may struggle to detect critical land-use changes, leading to false positives—incorrectly identifying compliant areas as deforested—or false negatives—failing to detect actual deforestation.

Such inaccuracies can result in unjustly cutting off supply chains or exposing companies to substantial risks of non-compliance, respectively.

Proprietary deforestation analytics offer higher resolution and real-time monitoring capabilities, providing accurate detection of land-use changes.

These advanced systems reduce the risks of false positives and negatives, thereby improving overall compliance efforts.

By investing in advanced geospatial data analytics, companies can transform compliance into an opportunity for improved operational efficiency, better supply chain transparency, and enhanced brand reputation.

Relying solely on open-source deforestation data can lead to several risks, including:
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- False Positives: Incorrectly identifying compliant areas as deforested, leading to unnecessary supply chain disruptions.
- False Negatives: Failing to detect actual deforestation, exposing companies to non-compliance penalties.
- Delayed Data Updates: Lack of real-time monitoring can result in outdated information, hindering timely compliance actions.

These risks underscore the importance of investing in more precise and reliable data sources for compliance purposes.

Accurately differentiating between forest cover loss and land use change is critical for EUDR compliance because not all tree loss qualifies as deforestation under the regulation.

The EUDR specifically targets land that has been permanently converted from forest to other uses, such as agriculture, infrastructure, or mining, after December 31, 2020. However, forest cover loss can occur for various reasons that do not necessarily indicate deforestation.

For example, sustainable forestry practices, seasonal canopy changes, and natural disturbances (such as storms or wildfires) may lead to temporary reductions in tree cover without resulting in long-term land-use change. Open-source deforestation data often struggles to make this distinction, leading to false positives (wrongly flagging sustainable activities as deforestation) or false negatives (failing to detect actual illegal land conversion).

For businesses, misinterpreting forest cover loss as deforestation can lead to unnecessary supplier exclusions and supply chain disruptions, while failing to detect real land-use change could result in non-compliance penalties.

High-accuracy deforestation monitoring solutions—such as Precision Analytics—use AI-driven models and high-resolution satellite imagery to analyze historical land-use patterns, ensuring that only genuine deforestation events are flagged. This minimizes errors, reduces compliance risks, and prevents disruptions in global commodity trade under the EUDR framework.